在散点图上绘制纬度和经度 [英] Plotting latitude and longitude on scatter plot

问题描述

我想制作一个距离很近(即在同一个城市)的经纬度点的散点图.

I want to make a scatter plot of latlong points that are close together (i.e., in the same city).

到目前为止我已经写了:

So far I have written:

import plotly.express as px
import pandas as pd


filename = "short_rtv.pkl"
df = pd.read_pickle(filename)

fig = px.scatter(df, x="Long", y="Lat", hover_data=["Request"])
fig.write_html("plot.html")

但这给我带来了一个非常奇怪的散点图:

but this yields me a very strange looking scatter plot:

而我希望有更多类似的东西:

whereas I was hoping for something more like:

第二张图片是使用 plotly 的图形对象/地图特征生成的；但是，我不想要地图图，我想要散点图.有可能实现吗?

This second image was generated using plotly's graph objects/map features; however, I do not want a map plot, I want a scatter plot. Is it possible to accomplish?

推荐答案

• 使用英国行政区域作为样本数据
• 设置宽度和高度很重要，以防止x被拉伸
• 从您的图片看来，long 和 lat 列是字符串而不是浮点数
• have used UK administrational areas as sample data
• it's important to set width and height to prevent x being stretched
• from your image it appears that long and lat columns are strings not floats

dfso = pd.DataFrame({"areaName": ["Aberdeen City", "Aberdeenshire", "Antrim and Newtownabbey", "Ards and North Down", "Argyll and Bute", "Blaenau Gwent", "Bridgend", "Caerphilly", "Cardiff", "Carmarthenshire", "Ceredigion", "Derby", "Devon", "Dorset", "Dumfries and Galloway", "East Sussex", "Falkirk", "Fermanagh and Omagh", "Flintshire", "Halton", "Highland", "Isle of Anglesey", "Isle of Wight", "Kingston upon Hull, City of", "Lincolnshire", "Lisburn and Castlereagh", "Merthyr Tydfil", "Mid and East Antrim", "Monmouthshire", "Moray", "Na h-Eileanan Siar", "Neath Port Talbot", "Newport", "Norfolk", "North Lincolnshire", "Orkney Islands", "Peterborough", "Portsmouth", "Powys", "Rhondda Cynon Taf", "Scottish Borders", "Shetland Islands", "Shropshire", "Somerset", "Suffolk", "Swindon", "Thurrock", "Torbay", "Torfaen", "Vale of Glamorgan", "Walsall", "West Sussex", "Windsor and Maidenhead", "Wrexham", "Armagh City, Banbridge and Craigavon", "Barking and Dagenham", "Barnet", "Barnsley", "Belfast", "Bexley", "Cambridgeshire", "Causeway Coast and Glens", "Coventry", "Cumbria", "Darlington", "Derbyshire", "Doncaster", "Dudley", "East Riding of Yorkshire", "Essex", "Fife", "Gateshead", "Gwynedd", "Hampshire", "Harrow", "Havering", "Herefordshire, County of", "Hertfordshire", "Hillingdon", "Inverclyde", "Kent", "Leicestershire", "Medway", "Mid Ulster", "Middlesbrough", "Milton Keynes", "Newry, Mourne and Down", "North Somerset", "North Yorkshire", "Northamptonshire", "Nottinghamshire", "Oxfordshire", "Pembrokeshire", "Plymouth", "Redbridge", "Redcar and Cleveland", "Rotherham", "Rutland", "Sandwell", "Sheffield", "South Lanarkshire", "Southend-on-Sea", "Staffordshire", "Sunderland", "Surrey", "Wiltshire", "Worcestershire", "Bath and North East Somerset", "Birmingham", "Bournemouth, Christchurch and Poole", "Brent", "Brighton and Hove", "Bristol, City of", "Bromley", "Buckinghamshire", "Conwy", "Cornwall and Isles of Scilly", "County Durham", "Croydon", "Denbighshire", "Derry City and Strabane", "Ealing", "East Ayrshire", "East Dunbartonshire", "Enfield", "Gloucestershire", "Greenwich", "Hackney and City of London", "Haringey", "Hartlepool", "Hounslow", "Kingston upon Thames", "Lewisham", "Merton", "Newham", "North Lanarkshire", "Perth and Kinross", "Richmond upon Thames", "Slough", "Solihull", "South Ayrshire", "South Gloucestershire", "South Tyneside", "Southampton", "St. Helens", "Stockton-on-Tees", "Stoke-on-Trent", "Sutton", "Swansea", "Telford and Wrekin", "Wakefield", "Waltham Forest", "Warrington", "Warwickshire", "West Berkshire", "West Lothian", "Westminster", "Wirral", "Wolverhampton", "York", "Angus", "Bedford", "Blackburn with Darwen", "Blackpool", "Bolton", "Bracknell Forest", "Bradford", "Bury", "Calderdale", "Camden", "Central Bedfordshire", "Cheshire East", "Cheshire West and Chester", "City of Edinburgh", "Clackmannanshire", "Dundee City", "East Lothian", "East Renfrewshire", "Glasgow City", "Hammersmith and Fulham", "Islington", "Kensington and Chelsea", "Kirklees", "Knowsley", "Lambeth", "Lancashire", "Leeds", "Leicester", "Liverpool", "Luton", "Manchester", "Midlothian", "Newcastle upon Tyne", "North Ayrshire", "North East Lincolnshire", "North Tyneside", "Northumberland", "Nottingham", "Oldham", "Reading", "Renfrewshire", "Rochdale", "Salford", "Sefton", "Southwark", "Stirling", "Stockport", "Tameside", "Tower Hamlets", "Trafford", "Wandsworth", "West Dunbartonshire", "Wigan", "Wokingham"], 
                     "long": [-2.20398, -2.79208, -6.1776, -5.64568, -5.22114, -3.18592, -3.61375, -3.19753, -3.22209, -4.2111, -3.94993, -1.47189, -3.65698, -2.41467, -4.02863, 0.334559, -3.83619, -7.5271, -3.18248, -2.68853, -4.66103, -4.32298, -1.33366, -0.30382, -0.23884, -6.03545, -3.36425, -6.14645, -2.9028, -3.20202, -6.65722, -3.74638, -2.89769, 0.964714, -0.52407, -2.90025, -0.26874, -1.07006, -3.43531, -3.41359, -2.85869, -1.37344, -2.73667, -3.29595, 1.04919, -1.73367, 0.334861, -3.55523, -3.05101, -3.39801, -1.97044, -0.45933, -0.67541, -2.99203, -6.43455, 0.129479, -0.21819, -1.54925, -5.92535, 0.146212, -0.23506, -6.5996, -1.51908, -2.90213, -1.56835, -1.6021, -1.10894, -2.10171, -0.66195, 0.54106, -2.98251, -1.6868, -3.77715, -1.24735, -0.33598, 0.235368, -2.73931, -0.27699, -0.44182, -4.75387, 0.72137, -1.3779, 0.563174, -6.8889, -1.21099, -0.7407, -6.08891, -2.75438, -1.55032, -0.86668, -1.00656, -1.29146, -4.90818, -4.11297, 0.070085, -1.00608, -1.28651, -0.6263, -2.00771, -1.54254, -3.83272, 0.706923, -2.02756, -1.43344, -0.33911, -1.92661, -2.20935, -2.48654, -1.88141, -1.84807, -0.27568, -0.15079, -2.57742, 0.039246, -0.80569, -3.74646, -4.64254, -1.8405, -0.07761, -3.34761, -7.42064, -0.3141, -4.29057, -4.22417, -0.08144, -2.15235, 0.050093, -0.06045, -0.1067, -1.27018, -0.37855, -0.28367, -0.01734, -0.18868, 0.027261, -3.9514, -3.88484, -0.28914, -0.57617, -1.71558, -4.72899, -2.46922, -1.44679, -1.39952, -2.7031, -1.30664, -2.15888, -0.17226, -3.96723, -2.48941, -1.42092, -0.0188, -2.56167, -1.56874, -1.27364, -3.60909, -0.15295, -3.06701, -2.12746, -1.07375, -2.8921, -0.45463, -2.4636, -3.02199, -2.47952, -0.73363, -1.87389, -2.3088, -1.96182, -0.16291, -0.47754, -2.29299, -2.70298, -3.27826, -3.75316, -2.97095, -2.72435, -4.3606, -4.21479, -0.21735, -0.10989, -0.18977, -1.78085, -2.83297, -0.11385, -2.46091, -1.50736, -1.1304, -2.91364, -0.42319, -2.23359, -3.11738, -1.65297, -4.7246, -0.13911, -1.50923, -2.07523, -1.16667, -2.05274, -0.99071, -4.56834, -2.14784, -2.38485, -2.99177, -0.07308, -4.32595, -2.12467, -2.077, -0.03647, -2.36572, -0.20021, -4.52074, -2.57247, -0.89935], 
                     "lat": [57.166969, 57.234692, 54.693859, 54.564091, 56.28944, 51.753639, 51.5606, 51.650009, 51.502541, 51.894951, 52.297951, 52.914639, 50.725578, 50.79697, 55.09621, 50.938049, 56.000751, 54.385208, 53.21471, 53.33424, 57.586571, 53.279308, 50.671291, 53.769199, 53.111019, 54.49752, 51.748581, 54.86462, 51.778271, 57.476799, 58.199379, 51.644501, 51.58231, 52.67123, 53.58643, 58.94334, 52.59214, 50.807999, 52.34864, 51.621849, 55.525951, 60.504951, 52.62212, 51.071819, 52.253849, 51.577629, 51.509979, 50.470921, 51.69836, 51.44836, 52.60503, 50.95134, 51.480339, 53.001671, 54.3867, 51.545551, 51.611069, 53.525768, 54.59853, 51.458221, 52.349659, 55.039619, 52.41423, 54.636379, 54.535339, 53.078579, 53.52697, 52.495129, 53.881119, 51.809818, 56.231121, 54.931198, 52.89883, 51.044739, 51.594669, 51.565189, 52.081539, 51.808788, 51.53664, 55.900299, 51.192951, 52.68779, 51.44772, 54.552731, 54.54467, 52.072411, 54.149529, 51.39706, 54.093712, 52.31105, 53.128502, 51.771549, 51.855129, 50.404942, 51.58588, 54.56752, 53.395531, 52.667648, 52.514771, 53.40358, 55.60453, 51.549171, 52.909302, 54.857189, 51.268028, 51.328831, 52.212872, 51.356041, 52.484039, 50.74609, 51.564381, 50.8465, 51.471149, 51.372662, 51.769661, 53.147388, 50.450218, 54.685131, 51.365971, 53.088329, 54.80904, 51.524422, 55.496738, 55.95829, 51.648891, 51.81971, 51.46394, 51.55492, 51.587711, 54.67614, 51.462379, 51.39296, 51.442299, 51.41058, 51.53149, 55.868141, 56.575279, 51.44035, 51.503502, 52.431, 55.23008, 51.54673, 54.969879, 50.9212, 53.458618, 54.556911, 53.017071, 51.357552, 51.658058, 52.714169, 53.659222, 51.594608, 53.391628, 52.179771, 51.445591, 55.8992, 51.512211, 53.374779, 52.597881, 53.96582, 56.725182, 52.196281, 53.700802, 53.82164, 53.584492, 51.411301, 53.843819, 53.593102, 53.720482, 51.543049, 51.999031, 53.167931, 53.163361, 55.911201, 56.147839, 56.4776, 55.94207, 55.74868, 55.876492, 51.487331, 51.54546, 51.496479, 53.64233, 53.437881, 51.464451, 53.86216, 53.822731, 52.635921, 53.408298, 51.891022, 53.470089, 55.82111, 55.021011, 55.72789, 53.52327, 55.028961, 55.300369, 52.954189, 53.557678, 51.453018, 55.848621, 53.60741, 53.479271, 53.482101, 51.465939, 56.249531, 53.391159, 53.478668, 51.515541, 53.41671, 51.4524, 56.0014, 53.51445, 51.422958]})

px.scatter(dfso, x="long", y="lat", hover_name="areaName", width=400, height=400)

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